Click on each event type below to learn more.

Course Type Information:

October 2026


20
OCT

How communication and shared decision-making can support patient-centred cancer care

20 October 2026

This session brings together two speakers exploring how communication and shared decision-making can support patient-centred cancer care.

How communication and shared decision-making can support patient-centred cancer care
23
OCT

Assessing the value of lost schooling due to illness among children in the United States

23 October 2026

The Decision Sciences for Child Health Collaborative (DSCCo) SIG is pleased to host a virtual Discovery Dialogues featuring Roopa Darwar, a PhD Candidate of Health Services Organization and Policy at the University of Michigan.

Assessing the value of lost schooling due to illness among children in the United States

November 2026


11
NOV

Living with DSD/Intersex in Norway: Complexities of Shared Decision-Making in the Transition to Adult Care

11 November 2026

The Decision Sciences for Child Health Collaborative (DSCCo) and Q+ Affinity Group SIGs are co-hosting a virtual Discovery Dialogue seminar featuring Drs. Siri Kjoelaas and Line Mediå, counselors and researchers at the Norwegian Centre for Rare Diseases, Oslo University Hospital.

Living with DSD/Intersex in Norway: Complexities of Shared Decision-Making in the Transition to Adult Care
12
NOV

Understanding Individual Differences in Medical Decision Making

12 November 2026

Individual differences can shape how patients and clinicians process information and make medical decisions. This course will introduce key concepts and methods for studying individual differences, explore how they can be incorporated into research, and identify opportunities for future work.

Understanding Individual Differences in Medical Decision Making
19
NOV

Causal Machine Learning for Health Economics and Decision Making

19 November 2026

This course introduces methods for combining machine learning (ML) and causal inference to improve health economic evaluations and decision-making. Participants will learn how ML can be used for prediction, estimating treatment effects, and designing stratified treatment policies. The course will also demonstrate practical implementation of these methods in R, with accompanying code provided.

Causal Machine Learning for Health Economics and Decision Making
24
NOV

GitHub & open-source modelling

24 November 2026

Learn how to use GitHub to collaborate internally and externally

GitHub & open-source modelling

December 2026


09
DEC

Simulation Models in Public Health Decision Making

09 December 2026

This intermediate short course introduces simulation modeling for public health decision making through real-world examples and applications. Participants will explore cohort models, microsimulation, and agent-based models, along with key concepts in model development, evaluation, uncertainty, and interpretation of results.

Simulation Models in Public Health Decision Making

February 2027


01
FEB

2027 Core Course Certification Program

01 February 2027

SMDM Core Course Certification Program. Click here to learn more and register for any (or all) of our 2027 Core Courses in February 2027. See specific courses below for more details.

01
FEB

Introduction to Medical Decision Analysis (Decision-Analytic Modeling)

01 February 2027

Course 1 of 4 SMDM Core Courses

Introduction to Medical Decision Analysis (Decision-Analytic Modeling)
08
FEB

Introduction to Cost Effectiveness Analysis

08 February 2027

Course 2 of 4 SMDM Core Courses

Introduction to Cost Effectiveness Analysis
16
FEB

Introduction to the Psychology of Medical Decision Making

16 February 2027

Course 3 of 4 SMDM Core Courses

Introduction to the Psychology of Medical Decision Making
22
FEB

Introduction to Shared Decision Making and Patient Decision Aids

22 February 2027

Course 4 of 4 SMDM Core Courses

Introduction to Shared Decision Making and Patient Decision Aids

March 2027


01
MAR

Introduction to Measuring Preferences in Health

01 March 2027

This beginner virtual course introduces participants to the fundamentals of measuring preferences in health and describe how these methods can support decision making and health policy.

Introduction to Measuring Preferences in Health